Exmergo Viz is a Dashboard AI Agent: a SaaS platform that uses AI agents to turn raw data into interactive dashboards in minutes. You ask questions in natural language and the AI handles the querying, analysis, and visualization. No code required.

How is Exmergo Viz different from tools like Tableau, Power BI, or ChatGPT?

Legacy BI tools like Tableau and Power BI are powerful but require weeks of setup and dedicated analysts. ChatGPT is approachable but produces one-off answers, not persistent dashboards. Exmergo Viz is AI-native and purpose-built for dashboards: you get the accuracy of BI with the ease of chat.

Do I need to know SQL or code to use Exmergo Viz?

No. Exmergo Viz is built for non-technical users. You upload data, ask questions in plain English, and the AI agents generate the queries, run the analysis, and build the charts for you.

What data sources does Exmergo support?

Every plan supports CSV and Excel file uploads. Enterprise plans also support live connections to SQL Server, MySQL, PostgreSQL, and HubSpot, with Google Analytics connectors coming soon.

How much does Exmergo Viz cost?

Exmergo Viz has a free tier (no credit card required), Pro at $19/month, Ultra at $99/month, and Enterprise plans with custom pricing and unlimited users. See the pricing page for full details.

Is my data used to train Exmergo's AI?

On paid tiers (Pro, Ultra, Enterprise), your data, prompts, and schema are never used to train AI models. On the free tier, prompts and data samples may be used to refine models.

Exmergo

The AI Stack for Your Data Stack

Unlock the intelligence that's just waiting to emerge from your data. Exmergo meets teams where they are with purpose-built agentic tooling.

Try Viz

or explore Dex →

Powering Agent-Native Analytics At

Exmergo Viz

The Dashboard AI Agent

From your data to reliable dashboards. Chat-to-chart at the speed of AI.

Try Viz

No credit card required

viz.exmergo.com

Revenue Analytics

Revenue

$0k

+12.5%

Users

+8.2%

Conv. Rate

0.0%

+2.1%

Monthly RevenueLast 10 months

100

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Exmergo Viz

Online

Show me revenue by region for Q1

North America leads at $48k. Chart ready. Want me to filter by product line?

Exmergo Dex

Explore.Transform.Maintain.

The agent-native analytics engineering toolkit.

Point it at your warehouse and your dbt project. It learns the landscape, authors your transformations, and tells you exactly what to fix when the schema drifts.

npx skills add exmergo/dex

Codex, Gemini CLI, Cursor, and others, via AGENTS.md.

View on GitHub

Works with

and more

76% on ADE-bench

dex: thelook_ecommerce

❯

ranked inventory

order_items181K rows

inventory_items490K rows

users100K rows

products29K rows

PIIusers.email flagged PII (email) · never surfaced

SELECT product_id, COUNT(*) AS units_sold, SUM(sale_price) AS revenue FROM order_items JOIN inventory_items ON …

needs confirmation · est. 49.3 MB scanned

allowed · 10 rows returned

Draft map cached to .dex/ · fully read-only

models/semantic/thelook_semantic.yml

+metrics:

+ - name: revenue # sum(sale_price)

+ - name: gross_margin # sum(gross_margin)

+ - name: return_rate # returned / units_sold

+ - name: aov # revenue / distinct(order_id)

+ - name: revenue_7d # cumulative, 7-day window

+ type: cumulative # windowed via metricflow_time_spine

metricflow_time_spine wired · date_day grain, 2018–2027

6 metrics validated against dev target · cost-guarded

3 findings

Schema drift

products.brand column no longer found. Closest matches: brand_name, manufacturer_name

Volume drift

stg_order_items: 7-day avg 866 rows/day → 43 rows in last load (-95%)

Grain drift

fct_order_items lost uniqueness on order_item_id: 1,148 duplicates (fan-out from a new coupon_redemptions join)

3 reconciling edits proposed, ready for review

ranked inventory

order_items181K rows

inventory_items490K rows

users100K rows

products29K rows

PIIusers.email flagged PII (email) · never surfaced

SELECT product_id, COUNT(*) AS units_sold, SUM(sale_price) AS revenue FROM order_items JOIN inventory_items ON …

needs confirmation · est. 49.3 MB scanned

allowed · 10 rows returned

Draft map cached to .dex/ · fully read-only

Connects to your warehouse

Snowflake

Databricks

BigQuery

Redshift

DuckDB

PostgreSQL

Connects to your Semantic Layer

dbt

Exmergo Ace

All You Can Data

Ace turns your governed semantic layer into agent-ready context. Point any agent at a single audited source, and Ace serves your models, metrics, and join paths as grounded context, never raw data. Many agents, one governed context.

Talk to Sales

Grounds every agent

Claude

Cursor

OpenAI

Exmergo Viz

+ Your Agent